STBC

有两个程序一个是关于frft的源程序，一个是应用frft对线性调频信号进行检测的程序，原理是以变换阶数（不同的分数阶域）为变量对观测信号进行分数阶变换，形成信号能量在时频平面上的二维分布，在此平面上按阈值进行峰值点的二维搜索即可检测线性调频信号并估计其参数。(There are two procedures one on frft the source, one application frft linear FM signal detection process, the principle is to transform the order of (different fractional domain) as the independent variables on the observed fractional signal change, the formation of signal energy in two-dimensional time-frequency plane distribution in this plane, the peak threshold value by two-dimensional linear FM signal can be detected search and estimate its parameters.)

文字识别文件夹中包含图片，matlab代码，可以运行(this file includs figures,codes of matlab. it can be run well.)

实现迭代学习控制的simulink数学模型，设置PID参数，可以跟踪期望轨迹(Iterative learning control to achieve the simulink model, set the PID parameters, you can track the desired trajectory)

Run this m-file to see several examples of volume visualization in MATLAB.

ECG signal processing

自适应，arma ，gm ，都是根据论文写得，结果和论文一样，仅供参考。(Adaptive, arma, gm, are based on written papers, and papers as a result, are for reference only.)

matlab codes for Implements 1D-3D NUFFTs via Fast Gaussian Gridding

fit_rayleigh_pdf - Non Linear Least Squares fit of the Rayleigh distribution. given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples.fits data to the probability of the form: p(r)=r*exp(-r^2/(2*s))/s with parameter: s format:result = fit_rayleigh_pdf( x,y,W,hAx ) input: y - vector, samples of the histogram to be fitted x - vector, position of the samples of the histogram (i.e. y = f(x,a)) W - matrix or scalar, a square weighting matrix of the size NxN where N = length(y), or 0 to indicate no weighting is needed. hAx - handle of an axis, on which the fitted distribution is plotted output: result - structure with the fields s - fitted parameter VAR - variance of the estimation type- weighted LS or not weighted LS iter- number of iteration for the solution

用巴特沃斯法实现数字带通滤波器的设计,用matlab一步一步实现，以数字低通滤波器的设计为基础。(Apply butterworth to design DF.)

k-means算法，聚类算法，有图像聚类实例。聚类经典算法(k-means algorithm, clustering algorithm, image clustering instance. Clustering classical algorithm)